Exact and Linearized Neural Predictive Control. A Turbocharged SI Engine Example

Guillaume Colin (1) , Yann Chamaillard (1) , Gérard Bloch (2, 3) , Alain Charlet (1)

1 LME - Laboratoire de Mécanique et Énergétique
2 CRAN - Centre de Recherche en Automatique de Nancy
3 UHP - Université Henri Poincaré - Nancy 1

This paper describes a real-time control method for non-linear systems based on model predictive control. The model used for the prediction is a neural network because of its ability to represent non-linear systems, its ability to be differentiated, and its simplicity of use. The feasibility and the performance of the method, based on on-line linearization, are demonstrated on a turbocharged spark-ignited engine application, where the simulation models used are very accurate and complex. The results, first in simulation and then on a test bench, show the implementation of the proposed control scheme in real time.

Mots clés: neural networks; predictive control; nonlinear control; engine control; real-time implementation

Domaines: Automatique

Guillaume Colin, Yann Chamaillard, Gérard Bloch, Alain Charlet. Exact and Linearized Neural Predictive Control. A Turbocharged SI Engine Example. Journal of Dynamic Systems, Measurement, and Control, 2007, 129 (4), pp.527-533. ⟨10.1115/1.2745881⟩. ⟨hal-00151807⟩